Software Engineer – AI Infrastructure

Job not on LinkedIn

🕒 February 27

🏄 California – Remote

infoinfo

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

🦅 H1B Visa Sponsor

infoinfo

👻 Ghost score 45%

infoinfo
Apply Now
Find Similar Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Logo of Andromeda

Andromeda

11 - 50 employees

🏥 Healthcare

💼 Consulting

🏨 Hospitality

🔥 Funding within the last year

💰 $15.1M Series A - Andromeda Robotics on 2025-09

Healthcare • Consulting • Hospitality

Andromeda is a GPU compute service and marketplace offering instant access to large clusters of H100, H200, and B200 accelerators for experiments, full-scale training, and inference. It supports orchestration with Slurm, Kubernetes, or direct SSH, provides flexible, no-minimum-duration usage and competitive pricing, and includes DevOps expertise, local NAS or streamed storage with no ingress/egress fees, and 24/7 support with industry SLAs. The company also operates a third-party GPU marketplace at gpulist. ai.

📋 Description

• Design and develop core platform components, including infrastructure orchestration, provisioning, and lifecycle management solutions. • Build robust APIs, services, and control planes that abstract over diverse infrastructure types (VMs, Kubernetes, bare metal, schedulers). • Translate customer usage patterns into product requirements, delivering impactful features and improvements. • Create automation and internal tooling to eliminate manual or ad-hoc operational work. • Enhance reliability, performance, and observability at the platform level, emphasizing durable improvements over quick fixes. • Collaborate with peer teams to define clear ownership boundaries between platform capabilities and customer-specific solutions. • Write clean, maintainable, and well-documented code with a focus on long-term sustainability. • Participate in technical design discussions and contribute to the architectural evolution of our platform.

🎯 Requirements

• 5+ years of experience in Infrastructure, Platform, or Backend Engineering roles. • Strong systems fundamentals: deep understanding of Linux, networking, storage, and distributed systems. • Proven expertise with Kubernetes, VMs, or bare-metal environments. • Advanced software engineering skills; capable of building production-grade APIs and services (Python, Go, or similar). • Extensive experience with infrastructure as code and automation tools (Terraform, Ansible, Helm, etc.). • Demonstrated ability to navigate ambiguity and distill complex problems into clear, maintainable abstractions. • Product-focused mindset: care about interfaces, defaults, reliability, and sustainable operations. • Excellent written and verbal communication skills; effective collaborator across engineering and product functions.

🏖️ Benefits

• Ownership and autonomy to shape systems • Engage directly with customers and providers • Lay foundations for scalable, reliable AI infrastructure • True builder’s opportunity

Apply Now

Similar Jobs

🕒 February 27

Zillion Technologies, Inc.

501 - 1000

💼 Consulting

🏥 Healthcare

📦 Logistics

AI Architect leading design and deployment of an AI-powered bot for streamlining billing workflows. Collaborating with teams to enhance citizen-facing services and ensure compliance.

🕒 February 26

Epistemix

11 - 50

💼 Consulting

🏥 Healthcare

📣 Marketing

AI Engineer designing, developing, and deploying AI-driven applications at Epistemix. Contributing to the product roadmap and company growth with innovative solutions.

🇺🇸 United States – Remote

💰 $7M Series A - Epistemix on 2024-06

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

🕒 February 26

Tribe AI

51 - 200

💼 Consulting

🏥 Healthcare

🤖 Artificial Intelligence

Forward Deployed AI Architect designing complex AI systems in partnership with enterprises. Leading technical discovery and client engagement to achieve significant AI outcomes.

🕒 February 26

Tribe AI

51 - 200

💼 Consulting

🏥 Healthcare

🤖 Artificial Intelligence

Forward Deployed AI Engineer building and deploying AI solutions with enterprise clients. Collaborating on complex issues and implementing scalable AI systems to drive business impact.

🕒 February 25

Omni

51 - 200

🤖 Artificial Intelligence

☁️ SaaS

🤝 B2B

Software Engineer focusing on building AI-assisted analytics tools. Collaborating in a team to design intelligent workflows and solve customer problems using modern technology.